#Senior Networking and Wireless Engineer with AI/ML Expertise

Qualcomm
Santa Clara, California, United States of America2026-03-03onsite

About the job

We are a leading technology company dedicated to innovation and excellence in the field of artificial intelligence, machine learning, and networking solutions. Our mission is to create cutting-edge technologies that drive the future of connectivity and intelligent systems. We are seeking an experienced Networking and Wireless Engineer with a background in AI/ML. The ideal candidate will have 2+ years of hands-on experience in these areas and a proven track record of delivering high-impact projects.

Responsibilities

Networking and Wireless Engineering: Design, implement, and troubleshoot advanced networking and WiFi wireless systems, ensuring robust and secure connectivity.

Linux Networking: Manage and optimize Linux-based networking systems, ensuring high performance and reliability.

Data Path Engineering: Develop and maintain efficient data path solutions to support high-speed data processing and transmission.

AI/ML Development: Develop and integrate AI/ML algorithms and models to enhance networking and wireless solutions.

Collaboration: Work closely with cross-functional teams, including software developers, network engineers, and data scientists, to integrate AI/ML solutions with networking and wireless technologies.

Innovation: Stay updated with the latest industry trends and advancements in AI/ML, networking, and wireless technologies, and apply this knowledge to drive innovation within the company.

Mentorship: Provide guidance and mentorship to junior engineers, fostering a culture of continuous learning and improvement.

Qualifications

Minimum

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR

PhD in Engineering, Information Systems, Computer Science, or related field.

• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Preferred

No preferred qualifications listed.